greenteg AG develops high-tech thermal sensing solutions for an international customer base.
In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an Intern as a Digital-Twin Spacecra
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
Contribute Python code and connect model APIs using approved services and help develop agent workflows, AI components and tool integrations.
Join us as a working student to help build and scale an LLM Wiki as a collaborative AI-native knowledge and working environment.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
At the Ericsson R&D center in Aachen-Herzogenrath, we shape and explore how AI is transforming the way telecom networks are planned, monitored, and operated.
Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts an
Testet kamerabasierte Gelenkbewegungserfassung und Release-Builds der App, prüft Analytics-Daten und automatisiert Tests mit KI-Tools.
Build AI application components that are ready to be tested, deployed and maintained.
Design the path from a business requirement to a working data and AI system.
Entwicklung von Computer-Vision-Lösungen für Qualitätskontrolle und Anomalieerkennung, von der Datenerfassung bis zum Modell im Einsatz - Im
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
AI Engineer Intern AI Engineer Intern You can find all of our job offers by clicking.
You ll build the agent stack an AI consultancy runs on.
During your assignment, you will collect, structure and preprocess engineering knowledge sources such as technical documents, specifications
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Entwicklung eines Humanoiden-Roboter-Showcases: Gehen lernen, Aufgaben per Sprache entgegennehmen und mit generativer KI lösen.
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
Who are we? Cohere is the leading security-first enterprise AI company.
Erforscht und prototypisiert Coding-Agenten, Agent-Frameworks und RAG-Systeme für Web-Rendering und Inference-Optimierung, inkl. SPEC-Driven Development.
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic
Entwickelt Softwarekomponenten in C++ und entwickelt sowie evaluiert CV- und ML-Algorithmen für KI-gestützte robotische Chirurgie.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Valid swiss work permit or EU/EFTA citizenship Strong proficiency in Python with experience in scientific and ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch) Solid understanding of data analysis, statistics, and machine learning fundamentals Strong problem-solving skills and ability to translate real-world problems into robust solutions Ability to clearly communicate technical findings to both technical and non-technical stakeholders English proficiency at C1 level
: 20 annual paid vacation days (at 100% workload). A stimulating role in high-tech manufacturing, involving diverse technologies. Collaborative participation in enhancing company processes. An energetic and international team. Flexible worktime, option for 1-2 remote days per week (at 100% workload). Regular social events, teambuilding, BBQ, free coffee and snacks. Interested? – Join us! Send your application CV and a short cover letter. Very important! You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
greenteg AG develops high-tech thermal sensing solutions for an international customer base. In addition to industrial sensors, we provide a unique core body temperature measurement solution (CALERA®) for wearable devices. Our technology enables a wide range of applications, including sports performance optimization, continuous and non-invasive patient monitoring, ovulation tracking, sleep analysis, and early disease detection and is integrated by various international customers on different type of wearable devices.
All solutions are developed, manufactured, and commercialized at our headquarters in Zürich-Rümlang, where interdisciplinary teams collaborate across hardware engineering, embedded systems, and machine learning. Location: Rümlang, Switzerland Workload: 80–100% Start Date: Jan 2027 or upon agreement. Important Note: You will receive a link with the confirmation email to fill out a form.
We will not process your application if you fail to fill out the form. Tasks To strengthen our R&D team, we are seeking a Data Scientist Intern – Wearables & Sensor Data to help our customers along the way to successfully integrate our solutions into their wearable products. You need to understand the needs and demands of each customer and make sure that our machine learning models can meet their requirements.
Main tasks: Calibrate sensors and evaluate the performance of our machine learning models on customer devices. Plan and conduct data collection and validation studies. Analyze, visualize, and report model performance issues observed in real-world usage.
Develop Python tools and pipelines to support customer integration and troubleshooting. Simulate model performance under varying sensor characteristics (e.g., noise, sampling rate, signal quality). (Optional) Support compilation and deployment of embedded ML libraries on target devices.
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